Results 81 to 90 of about 739 (170)
Earth and Space Science, Volume 12, Issue 8, August 2025.Abstract Remote sensing imagery has become an indispensable tool for cost‐effectively capturing extensive geospatial data across diverse applications. However, this technology remains fundamentally susceptible to noise contamination. Salt and pepper noise is one of the common issues that can significantly impair image quality and hinder subsequent ...
R. T. Cai +6 more
wiley +1 more source
Dehaze the Image Using Directed Filter Method after Blind Dehazing
International Journal of Scientific Engineering and Technology, 2015 Haze is generally phenomenon that an atmospheric stuff that greatly degrades the visibility of outdoor scenes. This phenomenon occurs due to the atmosphere constituent parts that absorb and scatter the light. We use the spread map of image in terms of intensity of image except a continuous region which has no edge information. The scheme performs a per-
Kanchan , Gahlod, Hemant verma
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WaveLiteDehaze‐Network: A Low‐Parameter Wavelet‐Based Method for Real‐Time Dehazing
CAAI Transactions on Intelligence Technology, Volume 10, Issue 4, Page 1033-1048, August 2025.ABSTRACT Although the image dehazing problem has received considerable attention over recent years, the existing models often prioritise performance at the expense of complexity, making them unsuitable for real‐world applications, which require algorithms to be deployed on resource constrained‐devices.
Ali Murtaza +5 more
wiley +1 more source
Progressive Pruning of Light Dehaze Networks for Static Scenes
Applied SciencesThis paper introduces an progressive pruning method for Light DeHaze Networks, focusing on a static scene captured by a fixed camera environments. We develop a progressive pruning algorithm that aims to reduce computational complexity while maintaining ...
Byeongseon Park +3 more
doaj +1 more source
Feasibility Study on the Use of Medium Resolution Satellite Data for the Detection of Forest Cover Change Caused by Clear Cutting of Coniferous Forests in the Northwest of Russia [PDF]
, 2005 This feasibility study examines possibilities of identifying and mapping of clear cuts in the boreal coniferous forests of north western Russia based on satellite imagery of medium spatial resolution (MRSD).
BUCHA Tomas, STIBIG HANS-JURGEN
core
RLaMs-Dehazing: Optimized Depth Map Improvement Single Colour Image Dehazing
Scientific Visualization, 2023 Visibility Degradation is a classical problem owing to the presence of Atmospheric Particulate Matter (APM). There are different image dehazing algorithms. Any one method cannot be relied upon as each haze condition is unique. An innovative algorithm has been proposed inverting the image formation atmospheric scattering model [2, 32].
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Enhanced Maize Leaf Disease Detection and Classification Using an Integrated CNN‐ViT Model
Food Science &Nutrition, Volume 13, Issue 7, July 2025.A hybrid CNN‐ViT model was proposed to improve maize leaf disease classification by leveraging both local and global image features. The model achieved 99.15% accuracy, with precision, recall, and F1‐score all at 99.13%, outperforming standalone CNN and ViT architectures.
Gunjan Shandilya +5 more
wiley +1 more source
Removal of fog from hazy images and their restoration
Journal of King Saud University: Engineering SciencesThe prominent reason behind road accidents during the winter season is the presence of fog in the environment. Other important reasons for the degradation of visibility are haze, smog, clouds and rain.
Vidya Nitin More, Vibha Vyas
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UCL-Dehaze: Towards Real-world Image Dehazing via Unsupervised Contrastive Learning
, 2022 14 pages, 9 figures, 9 ...
Wang, Yongzhen +6 more
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Interdisciplinary Medicine, Volume 3, Issue 4, July 2025.This review explores the applications of Generative AI (GAI) in medical imaging, with emphasis on its potential to enhance AI training and personalized medicine. The study comprehensively examines frameworks for evaluating the validity of GAI‐generated images while identifying critical challenges including model bias, data augmentation reliability, and
Wenle He +6 more
wiley +1 more source